Generate AI video clips from text, images, and reference footage.
npx skills add https://github.com/ChatCut-Inc/agent-plugin --skill video-gen-chatcut-inc
Please help me install this Agent Skill. Skill: video-gen Source: https://github.com/ChatCut-Inc/agent-plugin/tree/main/claude/skills/video-gen Command: npx skills add https://github.com/ChatCut-Inc/agent-plugin --skill video-gen-chatcut-inc
This Skill helps users turn creative ideas, images, and existing footage into coherent AI-generated video clips without guessing model settings, reference inputs, or revision workflows.
Use the video-gen skill to create a cinematic 9:16 video of a cyclist riding through a neon-lit city at night for eight seconds.
High-intent search queries and answers about installing and using this skill.
To generate AI video clips, you provide text prompts, images, or reference footage. The Skill validates model-specific parameters and project asset references to create text-to-video or image-to-video outputs using Seedance, Kling, or Gemini Omni.
Yes, you can extend or bridge existing generated clips and create first and last-frame transitions. The Skill preserves visual consistency across shots and applies localized edits by selecting the appropriate AI video generation model.
Maintaining visual consistency across multi-shot storyboards requires using consistency anchors and project asset references. The Skill aligns duration, shot structure, and content before submission to ensure coherent AI video generation.
Yes, the workflow supports multi-model video generation using Seedance 2.0, Seedance 2.0 mini, Kling, and Gemini Omni. It validates model-specific parameters to ensure high-quality text-to-video and reference-guided clip output.
You track video generation jobs through the track_progress workflow. After submitting validated prompts and model-appropriate parameters, the system hands job tracking to this workflow to monitor the AI video rendering process.
Descriptive asset names and project asset references are required to align duration, shot structure, and consistency anchors. These production guardrails prevent guessing model settings and ensure the AI video generation matches your creative intent.
ChatCut-IncGenerate AI images from text prompts with gpt-image-2 or nano-banana.
zinohomeGenerate AI videos from text prompts and image inputs via NodeStudio API.
0xslineGenerate AI videos via Seedance 2.0, Kling, and MiniMax Hailuo models.
dennisonbertramOrchestrate Nano Banana base images and Kling AI to generate realistic talking-head video clips.
